hello@datascale.de+49 89 921 35 623tracked cookie-free · /openDEEN

Search services, integrations and blog posts.

DatascaleIntegrationsPower BI vs. Metabase

Head-to-head

Power BI vs. Metabase: BI in the Microsoft world or open source?

The Microsoft mid-market standard against the approachable open-source BI: Power BI often arrives with the M365 licence already paid, Metabase runs self-hosted directly on your own warehouse.

Updated August 2026 · editorially rated · no paid placement

Power BI

Microsoft

US-Cloud
3.9

Microsoft's self-service BI, firmly set in the DACH mid-market. Often already licensed in M365 and adopted by business teams, but US cloud and only as good as the data model underneath.

Full review →

Metabase

Metabase

EU region
4.3

Open-source BI that business departments actually understand. Perfect for the mid-market and self-hostable, but eventually hits its limits with highly complex enterprise data models.

Full review →
Criterion
Power BI
Metabase
Licensing
Per user, often inside M365
Open source, paid tiers optional
Hosting
Microsoft cloud, EU Data Boundary
Self-hosted in the EU possible
Analysis logic
DAX, deep and powerful
SQL plus no-code questions
Audience
Microsoft-minded business teams
Teams with self-service ambitions

Rated by our review methodology. As of August 2026, prices without guarantee.

Decision help

What we recommend, and when.

Power BI, if …

Microsoft 365 is set and the licence frequently already paid.

Business teams expect Excel-style handling.

DAX models and row-level security are part of the requirement.

Metabase, if …

Self-hosting in the EU and open source are set requirements.

Self-service should work without SQL and without a training program.

A mid-market setup wants BI without a licensing negotiation.

Scenario
Recommendation
Why
Mid-market company with an M365 contract and Excel culture
Power BI
Licence and habits are already there, the barrier is minimal.
Startup or mid-market with a warehouse and open-source preference
Metabase
Self-hosted on your own warehouse, productive without licence costs.
Compliance wants dashboards without a US cloud
Metabase
Self-hosting keeps data and rendering in your own house.
Complex metric logic with row-level permissions
Power BI
DAX and workspace governance carry such models reliably.

Our verdict

If Microsoft 365 is in the house, Power BI is the path of least resistance: licence often paid, Excel-style handling, DAX depth. Metabase wins where self-hosting, open source, and fast self-service matter and nobody needs pixel-perfect reports. Both stand or fall with the data model underneath.

In depth

The default and the challenger

Power BI wins many projects before the comparison even starts, because the licence arrives with Microsoft 365. That is not a bad reason. Excel proximity lowers the barrier, and DAX carries demanding models.

Metabase scores on the other side with radical approachability and data ownership: open source, self-hosted, directly on the warehouse. Business teams click their own answers together, no SQL, no ticket.

The individual verdicts live on the tool pages: Power BI and Metabase. The foundation underneath is built in Revenue Intelligence.

Privacy and EU fit

Power BI runs in the Microsoft cloud; the EU Data Boundary keeps data in the EU region, but import mode still stores copies with Microsoft. Self-hosted Metabase leaves the data where it lives, in your own warehouse; the privacy question shrinks to your own infrastructure.

Implementation effort

Both install quickly, and both turn into CSV dumping grounds without a modelled warehouse. Power BI then demands DAX standards and workspace order, Metabase rather discipline around collections and permissions. The real effort sits in dbt, not in the BI tool.

Pricing and TCO

Power BI Pro ships inside many M365 bundles, premium capacity joins for large setups. Metabase costs no licence self-hosted, and the paid tiers stay mid-market friendly. The TCO gap is rarely decisive; team fit decides more often.

Migration

You do not migrate dashboards, you rebuild them, and that is usually a win. Moving from Power BI to Metabase means losing DAX measures and rebuilding them as dbt models; in the other direction SQL logic moves into DAX or stays in the warehouse. Metrics deserve one central definition anyway.

What we build the winner with

Related services

Sources

FAQ · 3 questions

The most common questions.

Different question? Write to us directly, reply within 48 h.

Yes, via the native connector. The mode is what matters: import copies data into the Microsoft cloud, DirectQuery leaves it in the warehouse. Volume, latency, and privacy requirements decide.

For self-service and standard dashboards, yes. With highly complex models, pixel-perfect reports, and governance across thousands of dashboards it hits limits; that is Power BI or Tableau territory.

The data model. Metrics defined once, centrally, in dbt carry either tool; without a model, both produce twelve truths per KPI.

What neither of them fixes

No analytics tool repairs a missing tracking concept.

Which tool fits is decided by the audit against your numbers, not by a comparison article.

Request an Audit Sprint To the catalog